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Educational and Socioeconomic Correlates of Stroke Risk Behaviors: Findings from the SPRINT INDIA Trial

  • Shweta Jain Verma
  • , Gurnoor Kaur
  • , Arya Devi
  • , Deepti Arora
  • , Aneesh Dhasan
  • , P. N. Sylaja
  • , Dheeraj Khurana
  • , Vijaya Pamidimukkala
  • , Biman Kanti Ray
  • , Vivek Nambiar
  • , Sanjith Aaron
  • , Gaurav Mittal
  • , Sundarachary Nagarjunakonda
  • , Aparna R. Pai
  • , Sankar Prasad Gorthi
  • , Somasundaram Kumaravelu
  • , Yerasu Muralidhar Reddy
  • , Sunil Narayan
  • , Nomal Chandra Borah
  • , Rupjyoti Das
  • Girish Baburao Kulkarni, Vikram Huded, Thomas Mathew, MV Padma Srivastava, Rohit Bhatia, Pawan Kumar Ojha, Jayanta Roy, Sherly Mary Abraham, Anand Girish Vaishnav, Arvind Sharma, Sheikh Jabeen, Abhishek Pathak, Sanjeev Kumar Bhoi, Sudhir Sharma, Sulena Sulena, Aralikatte Onkarappa Saroja, Neetu Ramrakhiani, Madhusudhan Byadarahalli Kempegowda, Mahesh Kate, Tina George, Ivy Sebastian, Meenakshi Sharma, Rupinder Dhaliwal, Rahul Huilgol, Jeyaraj D. Pandian*
*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Background and Objectives: Secondary Prevention by Structured Semi-Interactive Stroke Prevention Package in India (SPRINT INDIA) trial was a randomized control trial that enrolled 4298 stroke patients and administered educational interventions at 31 centers across India, with the aim to reduce recurrent stroke through increased stroke knowledge. This SPRINT INDIA trial post hoc study aims to investigate the incidence of recurrent stroke, high-risk transient ischemic attack (TIA), acute coronary syndrome (ACS), death, and lifestyle behavioral factors at 1 year. In addition, it examines the relationship between patients' baseline characteristics and education levels, risk factors, and outcomes and performs subgroup analysis within the intervention and control groups. Methods: Participants were randomly assigned (1:1) to either intervention or control group through computer-based randomization on web. Intervention included stroke prevention Short Message Service messages, short-duration videos, and printed workbooks. Baseline assessments captured demographic and educational data, classifying patients into three categories: no schooling, less than high school, and high school or above. Primary outcome was a composite of recurrent stroke, high-risk TIA, ACS, and mortality at 1 year. Chi-square tests and analysis of variance were used to evaluate educational disparities across various variables. Results: The intervention did not reduce primary outcomes at 1 year among patients with different educational levels. Higher educational group was associated with enhanced medication adherence (94.3% vs 85.4%; P < 0.001), increased physical activity (5497.91 ± 4117.7 vs 6169.91±4828.8; P < 0.001), lower triglyceride levels, and decreased engagement in behavioral risk factors like alcohol intake (5.1% vs 6.8%; P = 0.013) and tobacco use (smoked and chewed) (4% vs 7.9%; P < 0.001 and 5.8% vs 11.6%; P = 0.020). Conclusions: Personalized secondary stroke prevention, tailored to educational levels, is crucial for effective stroke management.

Original languageEnglish
Pages (from-to)863-870
Number of pages8
JournalAnnals of Indian Academy of Neurology
Volume28
Issue number6
DOIs
Publication statusPublished - 01-11-2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Clinical Neurology

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